{"id":"W2170485388","doi":"10.1029/2011jd016186","title":"Frost flowers growing in the Arctic ocean‐atmosphere–sea ice–snow interface: 2. Mercury exchange between the atmosphere, snow, and frost flowers","year":2011,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Division of Arctic Sciences; Office of Naval Research; U.S. Department of Defense; National Defense Science and Engineering Graduate; University of Michigan; National Aeronautics and Space Administration; National Science Foundation","keywords":"Sea ice; Snow; Frost (temperature); Arctic; Mercury (programming language); Atmosphere (unit); Environmental chemistry; Environmental science; Atmospheric sciences; Geology; Chemistry; Oceanography; Meteorology; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001315505,0.0002589463,0.000281456,0.0002871296,0.000577968,0.0006256916,0.0002292209,0.0003824013,0.0003929963],"category_scores_gemma":[0.0001696989,0.0002233274,0.000314539,0.0002180661,0.0002411684,0.0003367227,0.0002359769,0.0003638425,0.0001060564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000640173,"about_ca_system_score_gemma":0.0002328093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02921607,"about_ca_topic_score_gemma":0.04613763,"domain_scores_codex":[0.9999175,0.000008257173,0.000003433499,0.00003402894,0.0000148237,0.00002192071],"domain_scores_gemma":[0.9998703,0.00002848168,0.00003506455,0.000004916701,0.00003023168,0.00003091309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008217642,0.0001249359,0.4453158,0.00005694799,0.00006594877,0.0003346182,0.000666315,0.0002002135,0.5482906,0.00006696508,0.00008865723,0.003967109],"study_design_scores_gemma":[0.000003244019,0.00007086053,0.9887289,0.000002521784,0.00001403495,0.0001021875,0.0002903467,0.0004428648,0.01011217,0.00001403991,0.0002139839,0.000004944742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994949,0.00009480785,0.00006113741,0.000008597365,0.00000160378,0.000003528809,0.0001177578,0.000002047355,0.0002156814],"genre_scores_gemma":[0.9989316,0.00007313951,0.0002603296,0.0000251992,0.000003225251,0.00000733859,0.0004113564,0.000003534916,0.000284268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02921607,"threshold_uncertainty_score":0.05809206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04877950193703907,"score_gpt":0.3163763715900269,"score_spread":0.2675968696529878,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}